Fingerprint Detection and Process Prediction by Multivariate Analysis of Fed-Batch Monoclonal Antibody Cell Culture Data

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F15%3A43900193" target="_blank" >RIV/60461373:22340/15:43900193 - isvavai.cz</a>

Result on the web

<a href="http://www.readcube.com/articles/10.1002%2Fbtpr.2174" target="_blank" >http://www.readcube.com/articles/10.1002%2Fbtpr.2174</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1002/btpr.2174" target="_blank" >10.1002/btpr.2174</a>

Result language

angličtina

Original language name

Fingerprint Detection and Process Prediction by Multivariate Analysis of Fed-Batch Monoclonal Antibody Cell Culture Data

Original language description

This work presents a sequential data analysis path, which was successfully applied to identify important patterns (fingerprints) in mammalian cell culture process data regarding process variables, time evolution and process response. The data set incorporates 116 fed-batch cultivation experiments for the production of a Fc-Fusion protein. Having precharacterized the evolutions of the investigated variables and manipulated parameters with univariate analysis, principal component analysis (PCA) and partial least squares regression (PLSR) are used for further investigation. The first major objective is to capture and understand the interaction structure and dynamic behavior of the process variables and the titer (process response) using different models.The second major objective is to evaluate those models regarding their capability to characterize and predict the titer production. Moreover, the effects of data unfolding, imputation of missing data, phase separation, and variable transf

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

CI - Industrial chemistry and chemical engineering

OECD FORD branch

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Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2015

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Biotechnology Progress

ISSN

1520-6033

e-ISSN

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Volume of the periodical

31

Issue of the periodical within the volume

6

Country of publishing house

US - UNITED STATES

Number of pages

6

Pages from-to

1633-1644

UT code for WoS article

000368140300021

EID of the result in the Scopus database

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